This is the first book to provide a coherent overview over the ethical implications of AI-related technologies in medicine. It explores how these technologies transform practices, relationships, and environments in the clinical field. It provides an introduction into ethical issues such as data security and privacy protection, bias and algorithmic fairness, trust and transparency, challenges to the doctor-patient relationship, and new perspectives for informed consent. The book focuses on the transformative impact that technology is having on medicine, and discusses several strategies for dealing with the resulting challenges. It also introduces innovative methods of ethics research for addressing existing desiderata and future challenges. This book is written to inform health care professionals, policy-makers, and researchers in medicine, health sciences, nursing science, social sciences, and ethics, but may also function as a primary textbook for graduate as well as undergraduate university courses.

Autorentext

Giovanni Rubeis is full professor of Biomedical and Public Health Ethics at the Karl Landsteiner University of Health Sciences in Krems, Austria. As bioethicist and philosopher, the main focus of his research is the digital transformation of healthcare and its ethical implications. Prof. Rubeis is co-founder and coordinator of the working group "Digitalization and Health" within the German Academy of Ethics in Medicine.